Data Science Projects
is a Master's level course designed for students who have elected
to do a Capstone Project rather than a dissertation.
Other students interested in a projects-based course are welcome to attend,
class size permitting.

Topics covered include:

- elements of scientific computing
- elements of statistics
- elements of machine learning
- elements of signal processing
- elements of visualization

#### Prerequisites

Multivariable calculus, linear algebra, programming experience,
undergraduate numerical analysis, undergraduate probability and statistics.

#### Textbook

There is no course textbook. Readings will be selected based on
class interest and the projects chosen.

#### Assignments and grading

There will be a few problem sets over the course of the
semester and a final project presentation.

#### Announcements, etc.

Announcements will be made via email.

#### Computing

The Courant Institute has
computer labs with Linux workstations that have Matlab
(matlab), Maple (xmaple), Mathematica (mathematica), the GNU
(gcc,g++,gfortran), Intel and Pathscale C/C++/Fortran
compiler suites, and other useful software installed.